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Lead Researcher/s
Execution Timing
  • 2018-10-01 - 2019-05-31
System for the detection and tracking of objects for air traffic control by means of Deep Learning

System for the detection and tracking of objects for air traffic control by means of Deep Learning

The objective of the project is to analyse the viability and performance of the detection of interest objects from a control tower of a civil airport, using Deep Learning and other A.I. techniques. The project will determine the viability and performance of different algorithms applied to this context, as well as the methodology to adapt and adjust its performance in the specific conditions of operation of the airport control system of Indra.

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